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Witkowska A, Petre EN, Moussa AM, Santos E, Sarkar D, Lis E, Cornelis FH. Feasibility and Safety of Percutaneous CT-Guided Bone Biopsies in Patients with Cancer Using a Patient-Mounted Robotic System: A Retrospective Analysis of 40 Consecutive Biopsies. J Vasc Interv Radiol 2023; 34:2174-2179. [PMID: 37673400 PMCID: PMC11260433 DOI: 10.1016/j.jvir.2023.08.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 08/23/2023] [Accepted: 08/26/2023] [Indexed: 09/08/2023] Open
Abstract
This retrospective study evaluated the feasibility and safety of percutaneous computed tomography (CT)-guided bone biopsies in patients with cancer using a patient-mounted robotic system with steering capabilities. The study included 39 patients (17 women, 22 men; median age, 65.5 years; interquartile range [IQR], 54.8-71.0 years). Forty biopsies were performed in the pelvis, spine, ribs, shoulder, femur, and sternum. The technical success rate was 100%, and the median trajectory length was 55.9 mm (IQR, 47.1-73.6 mm). Intermediate checkpoints were used in 8 biopsies. Median time from the first to final scan was 21 minutes (IQR, 17-37 minutes). The overall procedure time was 30 minutes (IQR, 24-36 minutes). The median dose length product and effective dose were 536.6 mGy⋅cm (IQR, 396.2-837.7 mGy∗cm) and 7.1 mSv (IQR, 4.7-10.8 mSv), respectively. No adverse events occurred. The diagnostic yield for cancer was 72.5%. Percutaneous robotic-assisted bone biopsies demonstrated high technical success, adequate diagnostic yield, and favorable safety profile.
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Affiliation(s)
- Agnieszka Witkowska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Elena N Petre
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Amgad M Moussa
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Ernesto Santos
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Debkumar Sarkar
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Eric Lis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York
| | - Francois H Cornelis
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York; Department of Radiology, Weill Cornell Medical College, New York, New York.
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2
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Abstract
OBJECT The purpose of this review is to highlight the major factors limiting the progress of robotics development in the field of cranial neurosurgery. METHODS A literature search was performed focused on published reports of any Neurosurgical technology developed for use in cranial neurosurgery. Technology was reviewed and assessed for strengths and weaknesses, use in patients and whether or not the project was active or closed. RESULTS Published reports of 24 robots are discussed going back to 1985. In total, there were 9 robots used in patients (PUMA, Robot Hand, EXPERT, Neuromate, Evolution 1, ROSA, iSYS1, NeuroArm and NeuRobot) and only 2 active today (ROSA, NeuroArm). Of all clinically active systems, only three were used in more than 30 patients (ROSA, iSYS1 & NeuroArm). Projects were limited by cost, technology adoption, and clinical utility to actually improve workflow. The most common use of developed robots is for Stereotaxis. CONCLUSIONS There is a clear void in the area of cranial neurosurgery regarding robotics technology despite success in other fields of surgery. Significant factors such as cost, technology limitations, market size and regulatory pathway all contribute to a steep gradient for success.
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Affiliation(s)
- Rami Elsabeh
- Brain and Spine Surgeons of New York, White Plains, NY, USA
| | - Sukhbir Singh
- Brain and Spine Surgeons of New York, White Plains, NY, USA
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3
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Patel N, Yan J, Li G, Monfaredi R, Priba L, Donald-Simpson H, Joy J, Dennison A, Melzer A, Sharma K, Iordachita I, Cleary K. Body-Mounted Robotic System for MRI-Guided Shoulder Arthrography: Cadaver and Clinical Workflow Studies. Front Robot AI 2021; 8:667121. [PMID: 34041276 PMCID: PMC8141739 DOI: 10.3389/frobt.2021.667121] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 04/20/2021] [Indexed: 12/13/2022] Open
Abstract
This paper presents an intraoperative MRI-guided, patient-mounted robotic system for shoulder arthrography procedures in pediatric patients. The robot is designed to be compact and lightweight and is constructed with nonmagnetic materials for MRI safety. Our goal is to transform the current two-step arthrography procedure (CT/x-ray-guided needle insertion followed by diagnostic MRI) into a streamlined single-step ionizing radiation-free procedure under MRI guidance. The MR-conditional robot was evaluated in a Thiel embalmed cadaver study and healthy volunteer studies. The robot was attached to the shoulder using straps and ten locations in the shoulder joint space were selected as targets. For the first target, contrast agent (saline) was injected to complete the clinical workflow. After each targeting attempt, a confirmation scan was acquired to analyze the needle placement accuracy. During the volunteer studies, a more comfortable and ergonomic shoulder brace was used, and the complete clinical workflow was followed to measure the total procedure time. In the cadaver study, the needle was successfully placed in the shoulder joint space in all the targeting attempts with translational and rotational accuracy of 2.07 ± 1.22 mm and 1.46 ± 1.06 degrees, respectively. The total time for the entire procedure was 94 min and the average time for each targeting attempt was 20 min in the cadaver study, while the average time for the entire workflow for the volunteer studies was 36 min. No image quality degradation due to the presence of the robot was detected. This Thiel-embalmed cadaver study along with the clinical workflow studies on human volunteers demonstrated the feasibility of using an MR-conditional, patient-mounted robotic system for MRI-guided shoulder arthrography procedure. Future work will be focused on moving the technology to clinical practice.
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Affiliation(s)
| | - Jiawen Yan
- LCSR, Johns Hopkins University, Baltimore, MD, United States
| | - Gang Li
- LCSR, Johns Hopkins University, Baltimore, MD, United States
| | - Reza Monfaredi
- Children's National Health System, Washington, DC, United States
| | - Lukasz Priba
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Helen Donald-Simpson
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Joyce Joy
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Andrew Dennison
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom
| | - Andreas Melzer
- Institute for Medical Science and Technology, University of Dundee, Dundee, United Kingdom.,Institute for Computer Aided Surgery, University Leipzig, Leipzig, Germany
| | - Karun Sharma
- Children's National Health System, Washington, DC, United States
| | | | - Kevin Cleary
- Children's National Health System, Washington, DC, United States
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4
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Graham M, Assis F, Allman D, Wiacek A, Gonzalez E, Gubbi M, Dong J, Hou H, Beck S, Chrispin J, Bell MAL. In Vivo Demonstration of Photoacoustic Image Guidance and Robotic Visual Servoing for Cardiac Catheter-Based Interventions. IEEE TRANSACTIONS ON MEDICAL IMAGING 2020; 39:1015-1029. [PMID: 31502964 DOI: 10.1109/tmi.2019.2939568] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
Cardiac interventional procedures are often performed under fluoroscopic guidance, exposing both the patient and operators to ionizing radiation. To reduce this risk of radiation exposure, we are exploring the use of photoacoustic imaging paired with robotic visual servoing for cardiac catheter visualization and surgical guidance. A cardiac catheterization procedure was performed on two in vivo swine after inserting an optical fiber into the cardiac catheter to produce photoacoustic signals from the tip of the fiber-catheter pair. A combination of photoacoustic imaging and robotic visual servoing was employed to visualize and maintain constant sight of the catheter tip in order to guide the catheter through the femoral or jugular vein, toward the heart. Fluoroscopy provided initial ground truth estimates for 1D validation of the catheter tip positions, and these estimates were refined using a 3D electromagnetic-based cardiac mapping system as the ground truth. The 1D and 3D root mean square errors ranged 0.25-2.28 mm and 1.24-1.54 mm, respectively. The catheter tip was additionally visualized at three locations within the heart: (1) inside the right atrium, (2) in contact with the right ventricular outflow tract, and (3) inside the right ventricle. Lasered regions of cardiac tissue were resected for histopathological analysis, which revealed no laser-related tissue damage, despite the use of 2.98 mJ per pulse at the fiber tip (379.2 mJ/cm2 fluence). In addition, there was a 19 dB difference in photoacoustic signal contrast when visualizing the catheter tip pre- and post-endocardial tissue contact, which is promising for contact confirmation during cardiac interventional procedures (e.g., cardiac radiofrequency ablation). These results are additionally promising for the use of photoacoustic imaging to guide cardiac interventions by providing depth information and enhanced visualization of catheter tip locations within blood vessels and within the beating heart.
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5
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Kulkarni P, Sikander S, Biswas P, Frawley S, Song SE. Review of Robotic Needle Guide Systems for Percutaneous Intervention. Ann Biomed Eng 2019; 47:2489-2513. [PMID: 31372856 DOI: 10.1007/s10439-019-02319-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 07/02/2019] [Indexed: 01/24/2023]
Abstract
Numerous research groups in the past have designed and developed robotic needle guide systems that improve the targeting accuracy and precision by either providing a physical guidance for manual insertion or enabling a complete automated intervention. Here we review systems that have been reported in the last 11 years and limited to straight line needle interventions. Most systems fall under the category of image guided systems as they either use magnetic resonance image, computed tomography, ultrasound or a combination of these modalities for real time image feedback of the intervention path being followed. Actuation and control technology along with materials used for construction are the main aspects that differentiate these systems from each other and have been reviewed here. Image compatibility test details and results are also reviewed as they are used to ensure proper functioning of these systems under the respective imaging environments. We have also reviewed needle guide systems which either don't use any image feedback or have not reported any but provide physical guidance. Throughout this paper, we provide a comprehensive review of the technological aspects and trends in the field of robotic, straight line, needle guide intervention systems.
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Affiliation(s)
- Pankaj Kulkarni
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Sakura Sikander
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Pradipta Biswas
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Shawn Frawley
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA
| | - Sang-Eun Song
- Department of Mechanical and Aerospace Engineering, University of Central Florida, 12760 Pegasus Dr., ENGR 1, Room 307, Orlando, FL, 32816-2450, USA.
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6
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Patel N, Yan J, Monfaredi R, Sharma K, Cleary K, Iordachita I. Preclinical evaluation of an integrated robotic system for magnetic resonance imaging guided shoulder arthrography. J Med Imaging (Bellingham) 2019; 6:025006. [PMID: 31131290 PMCID: PMC6519665 DOI: 10.1117/1.jmi.6.2.025006] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Accepted: 04/15/2019] [Indexed: 11/14/2022] Open
Abstract
Shoulder arthrography is a diagnostic procedure which involves injecting a contrast agent into the joint space for enhanced visualization of anatomical structures. Typically, a contrast agent is injected under fluoroscopy or computed tomography (CT) guidance, resulting in exposure to ionizing radiation, which should be avoided especially in pediatric patients. The patient then waits for the next available magnetic resonance imaging (MRI) slot for obtaining high-resolution anatomical images for diagnosis, which can result in long procedure times. Performing the contrast agent injection under MRI guidance could overcome both these issues. However, it comes with the challenges of the MRI environment including high magnetic field strength, limited ergonomic patient access, and lack of real-time needle guidance. We present the development of an integrated robotic system to perform shoulder arthrography procedures under intraoperative MRI guidance, eliminating fluoroscopy/CT guidance and patient transportation from the fluoroscopy/CT room to the MRI suite. The average accuracy of the robotic manipulator in benchtop experiments is 0.90 mm and 1.04 deg, whereas the average accuracy of the integrated system in MRI phantom experiments is 1.92 mm and 1.28 deg at the needle tip. Based on the American Society for Testing and Materials (ASTM) tests performed, the system is classified as MR conditional.
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Affiliation(s)
- Niravkumar Patel
- Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, Maryland, United States
| | - Jiawen Yan
- Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, Maryland, United States
| | - Reza Monfaredi
- Children’s National Medical Center, Washington, DC, United States
| | - Karun Sharma
- Children’s National Medical Center, Washington, DC, United States
| | - Kevin Cleary
- Children’s National Medical Center, Washington, DC, United States
| | - Iulian Iordachita
- Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, Maryland, United States
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7
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Monfaredi R, Iordachita I, Wilson E, Sze R, Sharma K, Krieger A, Fricke S, Cleary K. Development of a shoulder-mounted robot for MRI-guided needle placement: phantom study. Int J Comput Assist Radiol Surg 2018; 13:1829-1841. [PMID: 30099660 DOI: 10.1007/s11548-018-1839-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/27/2018] [Indexed: 10/28/2022]
Abstract
PURPOSE This paper presents new quantitative data on a signal-to-noise ratio (SNR) study, distortion study, and targeting accuracy phantom study for our patient-mounted robot (called Arthrobot). Arthrobot was developed as an MRI-guided needle placement device for diagnostic and interventional procedures such as arthrography. METHODS We present the robot design and inverse kinematics. Quantitative assessment results for SNR and distortion study are also reported. A respiratory motion study was conducted to evaluate the shoulder mounting method. A phantom study was conducted to investigate end-to-end targeting accuracy. Combined error considering targeting accuracy, respiratory motion, and structure deformation is also reported. RESULTS The SNR study showed that the SNR changes only 2% when the unpowered robot was placed on top of a standard water phantom. The distortion study showed that the maximum distortion from the ground truth was 2.57%. The average error associated with respiratory motion was 1.32 mm with standard deviation of 1.38 mm. Results of gel phantom targeting studies indicate average needle placement error of 1.64 mm, with a standard deviation of 0.90 mm. CONCLUSIONS Noise and distortion of the MR images were not significant, and image quality in the presence of the robot was satisfactory for MRI-guided targeting. Combined average total error, adding mounting stability errors and structure deformation errors to targeting error, is estimated to be 3.4 mm with a standard deviation of 1.65 mm. In clinical practice, needle placement accuracy under 5 mm is considered sufficient for successful joint injection during shoulder arthrography. Therefore, for the intended clinical procedure, these results indicate that Arthrobot has sufficient positioning accuracy.
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Affiliation(s)
- Reza Monfaredi
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA.
| | - Iulian Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, USA
| | - Emmanuel Wilson
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Raymond Sze
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Karun Sharma
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
| | - Axel Krieger
- Department of Mechanical Engineering, University of Maryland, College Park, MD, USA
| | - Stanley Fricke
- Department of Diagnostic Imaging and Radiology, Children's National Health System, Washington, DC, USA
| | - Kevin Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, DC, USA
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8
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Ghelfi J, Moreau-Gaudry A, Hungr N, Fouard C, Véron B, Medici M, Chipon E, Cinquin P, Bricault I. Evaluation of the Needle Positioning Accuracy of a Light Puncture Robot Under MRI Guidance: Results of a Clinical Trial on Healthy Volunteers. Cardiovasc Intervent Radiol 2018; 41:1428-1435. [PMID: 29876597 DOI: 10.1007/s00270-018-2001-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Accepted: 05/26/2018] [Indexed: 12/16/2022]
Abstract
PURPOSE To assess the accuracy of Light Puncture Robot (LPR) as a patient-mounted robot, in positioning a sham needle under MRI guidance for abdominal percutaneous interventions. MATERIALS AND METHODS This monocentric, prospective and non-controlled study was approved by the ethics review board. The study evaluated the accuracy of LPR V3 to achieve a virtual puncture in 20 healthy volunteers. Three trajectories were tried on each volunteer, under 3-T MRI guidance. RESULTS Accuracy under 5 mm in attaining a 10 cm-deep target was reached in 72% of attempts after 2 robot motions with a median error of 4.1 mm [2.1; 5.1]. Median procedure time for one trajectory was 12.9 min [10.2; 18.0] and median installation time was 9.0 min [6.0; 13.0]. CONCLUSION LPR accuracy in the deployment of a sham needle inside the MRI tunnel and its setup time are promising. Further studies need to be conducted to confirm these results before clinical trials.
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Affiliation(s)
- Julien Ghelfi
- Clinique Universitaire de Radiologie et Imagerie Médicale, CHU de Grenoble, BP 217, 38043, Grenoble Cedex 09, France.
| | - Alexandre Moreau-Gaudry
- TIMC-IMAG, Univ. Grenoble-Alpes, 38000, Grenoble, France.,TIMC-IMAG, CNRS, 38000, Grenoble, France.,Inserm CIC 1406, 38000, Grenoble, France.,Pole Sante Publique, CHU Grenoble-Alpes, 38000, Grenoble, France
| | - Nikolai Hungr
- Laboratoire TIMC-IMAG (UMR CNRS 5525) - Équipe GMCAO, Faculté de Médecine - Pavillon Taillefer, 38706, La Tronche Cedex, France
| | - Céline Fouard
- Laboratoire TIMC-IMAG (UMR CNRS 5525) - Équipe GMCAO, Faculté de Médecine - Pavillon Taillefer, 38706, La Tronche Cedex, France
| | - Baptiste Véron
- Laboratoire TIMC-IMAG (UMR CNRS 5525) - Équipe GMCAO, Faculté de Médecine - Pavillon Taillefer, 38706, La Tronche Cedex, France
| | - Maud Medici
- Inserm CIC 1406, 38000, Grenoble, France.,CIC 1406, Univ. Grenoble-Alpes, 38000, Grenoble, France.,Pole Recherche, CHU Grenoble-Alpes, 38000, Grenoble, France
| | - Emilie Chipon
- Inserm CIC 1406, 38000, Grenoble, France.,CIC 1406, Univ. Grenoble-Alpes, 38000, Grenoble, France.,Pole Recherche, CHU Grenoble-Alpes, 38000, Grenoble, France
| | - Philippe Cinquin
- Laboratoire TIMC-IMAG (UMR CNRS 5525) - Équipe GMCAO, Faculté de Médecine - Pavillon Taillefer, 38706, La Tronche Cedex, France
| | - Ivan Bricault
- Clinique Universitaire de Radiologie et Imagerie Médicale, CHU de Grenoble, BP 217, 38043, Grenoble Cedex 09, France
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9
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A Skull-Mounted Robot with a Compact and Lightweight Parallel Mechanism for Positioning in Minimally Invasive Neurosurgery. Ann Biomed Eng 2018; 46:1465-1478. [DOI: 10.1007/s10439-018-2037-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Accepted: 04/20/2018] [Indexed: 11/26/2022]
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10
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Automatic planning of needle placement for robot-assisted percutaneous procedures. Int J Comput Assist Radiol Surg 2018; 13:1429-1438. [PMID: 29671199 DOI: 10.1007/s11548-018-1754-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2018] [Accepted: 03/26/2018] [Indexed: 12/24/2022]
Abstract
PURPOSE Percutaneous procedures allow interventional radiologists to perform diagnoses or treatments guided by an imaging device, typically a computed tomography (CT) scanner with a high spatial resolution. To reduce exposure to radiations and improve accuracy, robotic assistance to needle insertion is considered in the case of X-ray guided procedures. We introduce a planning algorithm that computes a needle placement compatible with both the patient's anatomy and the accessibility of the robot within the scanner gantry. METHODS Our preoperative planning approach is based on inverse kinematics, fast collision detection, and bidirectional rapidly exploring random trees coupled with an efficient strategy of node addition. The algorithm computes the allowed needle entry zones over the patient's skin (accessibility map) from 3D models of the patient's anatomy, the environment (CT, bed), and the robot. The result includes the admissible robot joint path to target the prescribed internal point, through the entry point. A retrospective study was performed on 16 patients datasets in different conditions: without robot (WR) and with the robot on the left or the right side of the bed (RL/RR). RESULTS We provide an accessibility map ensuring a collision-free path of the robot and allowing for a needle placement compatible with the patient's anatomy. The result is obtained in an average time of about 1 min, even in difficult cases. The accessibility maps of RL and RR covered about a half of the surface of WR map in average, which offers a variety of options to insert the needle with the robot. We also measured the average distance between the needle and major obstacles such as the vessels and found that RL and RR produced needle placements almost as safe as WR. CONCLUSION The introduced planning method helped us prove that it is possible to use such a "general purpose" redundant manipulator equipped with a dedicated tool to perform percutaneous interventions in cluttered spaces like a CT gantry.
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Dou H, Jiang S, Yang Z, Sun L, Ma X, Huo B. Design and validation of a CT-guided robotic system for lung cancer brachytherapy. Med Phys 2017; 44:4828-4837. [PMID: 28657112 DOI: 10.1002/mp.12435] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2017] [Revised: 06/18/2017] [Accepted: 06/19/2017] [Indexed: 11/08/2022] Open
Abstract
PURPOSE Currently, lung brachytherapy in clinical setting is a complex procedure. Operation accuracy depends on accurate positioning of the template; however, it is difficult to guarantee the positioning accuracy manually. Application of robotic-assisted systems can simplify the procedure and improve the manual positioning accuracy. Therefore, a novel CT-guided robotic system was developed to assist the lung cancer brachytherapy. METHODS A four degree-of-freedom (DOF) robot, controlled by a lung brachytherapy treatment planning system (TPS) software, was designed and manufactured to assist the template positioning. Target position of the template can be obtained from the treatment plan, thus the robot is driven to the target position automatically. The robotic system was validated in both the laboratory and the CT environment. In laboratory environment, a 3D laser tracker and an inertial measurement unit (IMU) were used to measure the mechanical accuracy in air, which includes positioning accuracy and position repeatability. Working reliability was also validated in this procedure by observing the response reliability and calculating the position repeatability. Imaging artifacts and accuracy of the robot registration were validated in the CT environment by using an artificial phantom with fiducial markers. CT images were obtained and used to test the image artifact and calculate the registration accuracy. Phantom experiments were conducted to test the accuracy of needle insertion by using a transparent hydrogel phantom with a high imitation artificial phantom. Also, the efficiency was validated in this procedure by comparing time costs in manual positioning with robotic positioning under the same experimental conditions. RESULTS The robotic system achieved the positioning accuracy of 0.28 ± 0.25 mm and the position repeatability of 0.09 ± 0.11 mm. Experimental results showed that the robot was CT-compatible and responded reliably to the control commands. The mean registration accuracy of the robotic system was 0.49 ± 0.29 mm. Phantom experiments indicated that the accuracy of needle insertion was 1.5 ± 1.7 mm at a depth ranging from 30 to 80 mm. The time used to adjust the template to the target position was 12 min on average by robotic system automatically. An average of 30 min was saved compared with the manual positioning procedure in phantom experiments. CONCLUSIONS This paper describes the design and experimental validation of a novel CT-guided robotic system for lung cancer brachytherapy. The robotic system was validated in a number of aspects which prove that it was capable of locating the template with clinically acceptable accuracy in the CT environment. All experimental results indicated that the system is reliable and ready to be applied to further studies on animals.
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Affiliation(s)
- Huaisu Dou
- School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China
| | - Shan Jiang
- School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China.,Centre for advanced Mechanisms and Robotics, Tianjin University, Tianjin, 300350, China
| | - Zhiyong Yang
- School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China
| | - Luqing Sun
- School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China
| | - Xiaodong Ma
- School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China
| | - Bin Huo
- Department of Oncology, The second Hospital of Tianjin Medical University, Tianjin, 300211, China
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12
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Shahriari N, Heerink W, van Katwijk T, Hekman E, Oudkerk M, Misra S. Computed tomography (CT)-compatible remote center of motion needle steering robot: Fusing CT images and electromagnetic sensor data. Med Eng Phys 2017; 45:71-77. [PMID: 28512000 DOI: 10.1016/j.medengphy.2017.04.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2016] [Revised: 03/22/2017] [Accepted: 04/23/2017] [Indexed: 12/29/2022]
Abstract
Lung cancer is the most common cause of cancer-related death, and early detection can reduce the mortality rate. Patients with lung nodules greater than 10 mm usually undergo a computed tomography (CT)-guided biopsy. However, aligning the needle with the target is difficult and the needle tends to deflect from a straight path. In this work, we present a CT-compatible robotic system, which can both position the needle at the puncture point and also insert and rotate the needle. The robot has a remote-center-of-motion arm which is achieved through a parallel mechanism. A new needle steering scheme is also developed where CT images are fused with electromagnetic (EM) sensor data using an unscented Kalman filter. The data fusion allows us to steer the needle using the real-time EM tracker data. The robot design and the steering scheme are validated using three experimental cases. Experimental Case I and II evaluate the accuracy and CT-compatibility of the robot arm, respectively. In experimental Case III, the needle is steered towards 5 real targets embedded in an anthropomorphic gelatin phantom of the thorax. The mean targeting error for the 5 experiments is 1.78 ± 0.70 mm. The proposed robotic system is shown to be CT-compatible with low targeting error. Small nodule size and large needle diameter are two risk factors that can lead to complications in lung biopsy. Our results suggest that nodules larger than 5 mm in diameter can be targeted using our method which may result in lower complication rate.
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Affiliation(s)
- Navid Shahriari
- Center for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, The Netherlands; Department of Biomechanical Engineering, MIRA-Institute for Biomedical Technology and Technical Medicine, University of Twente, Horstring (HR) Z-140, Drienerlolaan 5, Enschede 7522NB, The Netherlands.
| | - Wout Heerink
- Center for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Tim van Katwijk
- Department of Biomechanical Engineering, MIRA-Institute for Biomedical Technology and Technical Medicine, University of Twente, Horstring (HR) Z-140, Drienerlolaan 5, Enschede 7522NB, The Netherlands
| | - Edsko Hekman
- Department of Biomechanical Engineering, MIRA-Institute for Biomedical Technology and Technical Medicine, University of Twente, Horstring (HR) Z-140, Drienerlolaan 5, Enschede 7522NB, The Netherlands
| | - Matthijs Oudkerk
- Center for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, The Netherlands
| | - Sarthak Misra
- Center for Medical Imaging-North East Netherlands, University of Groningen, University Medical Center Groningen, The Netherlands; Department of Biomechanical Engineering, MIRA-Institute for Biomedical Technology and Technical Medicine, University of Twente, Horstring (HR) Z-140, Drienerlolaan 5, Enschede 7522NB, The Netherlands; Department of Biomedical Engineering, University of Groningen, University Medical Center Groningen, The Netherlands
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13
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Jiang S, Yuan W, Yang Y, Zhang D, Liu N, Wang W. Modelling and analysis of a novel CT-guided puncture robot for lung brachytherapy. Adv Robot 2017. [DOI: 10.1080/01691864.2017.1298465] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Shan Jiang
- Center for Advanced Mechanism and Robotics, School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Wei Yuan
- Center for Advanced Mechanism and Robotics, School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Yunpeng Yang
- Center for Advanced Mechanism and Robotics, School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Daguang Zhang
- Center for Advanced Mechanism and Robotics, School of Mechanical Engineering, Tianjin University, Tianjin, China
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Ningbo Liu
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Wei Wang
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
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14
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Yang Y, Jiang S, Yang Z, Yuan W, Dou H, Wang W, Zhang D, Bian Y. Design and analysis of a tendon-based computed tomography-compatible robot with remote center of motion for lung biopsy. Proc Inst Mech Eng H 2017; 231:286-298. [PMID: 28195001 DOI: 10.1177/0954411917690763] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Nowadays, biopsy is a decisive method of lung cancer diagnosis, whereas lung biopsy is time-consuming, complex and inaccurate. So a computed tomography-compatible robot for rapid and precise lung biopsy is developed in this article. According to the actual operation process, the robot is divided into two modules: 4-degree-of-freedom position module for location of puncture point is appropriate for patient's almost all positions and 3-degree-of-freedom tendon-based orientation module with remote center of motion is compact and computed tomography-compatible to orientate and insert needle automatically inside computed tomography bore. The workspace of the robot surrounds patient's thorax, and the needle tip forms a cone under patient's skin. A new error model of the robot based on screw theory is proposed in view of structure error and actuation error, which are regarded as screw motions. Simulation is carried out to verify the precision of the error model contrasted with compensation via inverse kinematics. The results of insertion experiment on specific phantom prove the feasibility of the robot with mean error of 1.373 mm in laboratory environment, which is accurate enough to replace manual operation.
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Affiliation(s)
- Yunpeng Yang
- 1 School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Shan Jiang
- 1 School of Mechanical Engineering, Tianjin University, Tianjin, China.,2 Centre for Advanced Mechanisms and Robotics, Tianjin University, Tianjin, China
| | - Zhiyong Yang
- 1 School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Wei Yuan
- 1 School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Huaisu Dou
- 1 School of Mechanical Engineering, Tianjin University, Tianjin, China
| | - Wei Wang
- 3 Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Daguang Zhang
- 3 Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yuan Bian
- 1 School of Mechanical Engineering, Tianjin University, Tianjin, China
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15
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Sugiyama K, Matsuno T, Kamegawa T, Hiraki T, Nakaya H, Nakamura M, Yanou A, Minami M. Needle Tip Position Accuracy Evaluation Experiment for Puncture Robot in Remote Center Control. JOURNAL OF ROBOTICS AND MECHATRONICS 2016. [DOI: 10.20965/jrm.2016.p0911] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
[abstFig src='/00280006/15.jpg' width='300' text='Location of devices in the experiment' ] In recent years, a medical procedure called interventional radiology (IR) has been attracting considerable attention. Doctors can perform IR percutaneously while observing the fluoroscopic image of patients. Therefore, this surgical method is less invasive. In this surgery, computed tomography (CT) equipment is often used for precise fluoroscopy. However, doctors are exposed to strong radiation from the CT equipment. In order to overcome this problem, we have developed a remote-controlled surgical assistance robot called Zerobot. In animal puncture experiment, the operation of Zerobot was based on joint control. Therefore, during a surgery, the tip of the needle moves when a surgeon orders for a change in the direction of the needle. This makes the robot less user-friendly because the surgeon tracks the trajectory of the tip of the needle. This problem can be solved by using remote center control.
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16
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Hungr N, Bricault I, Cinquin P, Fouard C. Design and Validation of a CT- and MRI-Guided Robot for Percutaneous Needle Procedures. IEEE T ROBOT 2016. [DOI: 10.1109/tro.2016.2588884] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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17
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Monfaredi R, Wilson E, Sze R, Sharma K, Azizi B, Iordachita I, Cleary K. Shoulder-Mounted Robot for MRI-guided arthrography: Accuracy and mounting study. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2015:3643-6. [PMID: 26737082 DOI: 10.1109/embc.2015.7319182] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
A new version of our compact and lightweight patient-mounted MRI-compatible 4 degree-of-freedom (DOF) robot for MRI-guided arthrography procedures is introduced. This robot could convert the traditional two-stage arthrography procedure (fluoroscopy-guided needle insertion followed by a diagnostic MRI scan) to a one-stage procedure, all in the MRI suite. The results of a recent accuracy study are reported. A new mounting technique is proposed and the mounting stability is investigated using optical and electromagnetic tracking on an anthropomorphic phantom. Five volunteer subjects including 2 radiologists were asked to conduct needle insertion in 4 different random positions and orientations within the robot's workspace and the displacement of the base of the robot was investigated during robot motion and needle insertion. Experimental results show that the proposed mounting method is stable and promising for clinical application.
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18
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Woo HS, Cho JH, Kim CS, Lee HJ. Master device for teleoperated needle insertion-type interventional robotic system. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2015:4849-52. [PMID: 26737379 DOI: 10.1109/embc.2015.7319479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
This paper proposes a new master device for teleoperated needle insertion-type interventional robotic system. The 5-DOF master device is optimally designed based on the newly defined interventional procedures and the physicians' requirements. It comprises a 2-DOF rotational mechanism for adjustment of needle orientation, a 2-DOF translational mechanism for fine-tuning of needle entry point, and a handle assembly. The handle assembly includes a 1-DOF translational mechanism for needle insertion and buttons for operation mode selection. The passive actuation modules of the rotational mechanism and the active actuation modules of the translational mechanism are controlled appropriately for the selected mode according to the procedure phase. The needle insertion mechanism also warns the user by vibrating the shaft when the needle reaches the dangerous region.
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19
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Monfaredi R, Seifabadi R, Iordachita I, Sze R, Safdar NM, Sharma K, Fricke S, Krieger A, Cleary K. A Prototype Body-Mounted MRI-Compatible Robot for Needle Guidance in Shoulder Arthrography. PROCEEDINGS OF THE ... IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS. IEEE/RAS-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS 2014; 2014:40-45. [PMID: 25473653 DOI: 10.1109/biorob.2014.6913749] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
A novel compact and lightweight patient-mounted MRI-compatible robot has been designed for MRI image-guided interventions. This robot is intended to enable MRI-guided needle placement as done in shoulder arthrography. The robot could make needle placement more accurate and simplify the current workflow by converting the traditional two-stage arthrography procedure (fluoroscopy-guided needle insertion followed by a diagnostic MRI scan) to a one-stage procedure (streamlined workflow all in MRI suite). The robot has 4 degrees of freedom (DOF), two for orientation of the needle and two for needle positioning. The mechanical design was based on several criteria including rigidity, MRI compatibility, compact design, sterilizability, and adjustability. The proposed workflow is discussed and initial MRI compatibility experiments are presented. The results show that artifacts in the region of interest are minimal and that MRI images of the shoulder were not adversely affected by placing the robot on a human volunteer.
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Affiliation(s)
- R Monfaredi
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA; Industrial Department, Azad University Sough Tehran Branch, Tehran, Iran
| | - R Seifabadi
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA
| | - I Iordachita
- Laboratory for Computational Sensing and Robotics (LCSR), John Hopkins University, 3400 N. Charles St. Baltimore MD 21218 USA
| | - R Sze
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA
| | - N M Safdar
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA
| | - K Sharma
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA
| | - S Fricke
- Department of Diagnostic Imaging and Radiology, Children's National Medical center
| | - A Krieger
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA
| | - K Cleary
- Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Medical Center, 111 Michigan Ave. DC 20010 USA
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Andrade AO, Pereira AA, Walter S, Almeida R, Loureiro R, Compagna D, Kyberd PJ. Bridging the gap between robotic technology and health care. Biomed Signal Process Control 2014. [DOI: 10.1016/j.bspc.2013.12.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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22
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Hungr N, Fouard C, Robert A, Bricault I, Cinquin P. Interventional radiology robot for CT and MRI guided percutaneous interventions. MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION : MICCAI ... INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION 2011; 14:137-44. [PMID: 22003610 DOI: 10.1007/978-3-642-23623-5_18] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
This paper introduces a new patient-mounted CT and MRI guided interventional radiology robot for percutaneous needle interventions. The 5 DOF robot uses ultrasonic motors and pneumatics to position the needle and then insert it progressively. The needle position and inclination can be registered in the images using two strategically placed fiducials visible in both imaging modalities. A first prototype is presented and described in terms of its sterilization, CT and MRI compatibility, and precision. Tests showed that 1) it is entirely sterilizable with hydrogen peroxide gas, 2) no image artifacts or deformations are noticeable in the CT and MRI images, 3) does not affect the SNR of MR images, and 4) its mechanical error is less than 5mm.
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Affiliation(s)
- Nikolai Hungr
- UJF-Grenoble 1 / CNRS / TIMC-IMAG UMR 5525 (GMCAO), Grenoble F-38041, France.
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